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WO2008065598A3 - A method, an apparatus and a computer program for data processing - Google Patents

A method, an apparatus and a computer program for data processing Download PDF

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Publication number
WO2008065598A3
WO2008065598A3 PCT/IB2007/054788 IB2007054788W WO2008065598A3 WO 2008065598 A3 WO2008065598 A3 WO 2008065598A3 IB 2007054788 W IB2007054788 W IB 2007054788W WO 2008065598 A3 WO2008065598 A3 WO 2008065598A3
Authority
WO
WIPO (PCT)
Prior art keywords
image
model
segmentation
landmark
case
Prior art date
Application number
PCT/IB2007/054788
Other languages
French (fr)
Other versions
WO2008065598A2 (en
Inventor
Stewart Young
Daniel Bystrov
Thomas Netsch
Michael Kaus
Vladimir Pekar
Original Assignee
Koninkl Philips Electronics Nv
Philips Intellectual Property
Stewart Young
Daniel Bystrov
Thomas Netsch
Michael Kaus
Vladimir Pekar
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninkl Philips Electronics Nv, Philips Intellectual Property, Stewart Young, Daniel Bystrov, Thomas Netsch, Michael Kaus, Vladimir Pekar filed Critical Koninkl Philips Electronics Nv
Priority to CN200780043770.2A priority Critical patent/CN101542532B/en
Priority to JP2009537753A priority patent/JP5102302B2/en
Priority to EP07849254.3A priority patent/EP2104921B1/en
Priority to US12/516,357 priority patent/US8781254B2/en
Publication of WO2008065598A2 publication Critical patent/WO2008065598A2/en
Publication of WO2008065598A3 publication Critical patent/WO2008065598A3/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/149—Segmentation; Edge detection involving deformable models, e.g. active contour models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30016—Brain

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Image Processing (AREA)
  • Apparatus For Radiation Diagnosis (AREA)

Abstract

The invention relates to a method for data processing. At stage 3 the position of the reference object in the reference image and its relation to a set of reference landmarks in the reference image is established at step 6. In order to enable this, the reference imaging of learning examples may be performed at step 2 and each reference image may be analyzed at step 4, the results may be stored in a suitably arranged database. In order to process the image under consideration, the image is accessed at step 11, the suitable landmark corresponding to the reference landmark in the reference image is identified at step 13 and the spatial relationship established at step 6 is applied to the landmark thereby providing the initial position of the object in the actual image. In case when for the object an imaging volume is selected, the method 1 according to the invention follows to step 7, whereby the scanning 17 is performed within the boundaries given by the thus established scanning volume. In case when for the object a model representative of the target is selected, the method 1 follows to the image segmentation step 19, whereby a suitable segmentation is performed. In case when for the model a deformable model is selected, the segmentation is performed by deforming the model thereby providing spatial boundaries of the target area. The invention further relates to an apparatus and a computer program for image processing.
PCT/IB2007/054788 2006-11-28 2007-11-26 A method, an apparatus and a computer program for data processing WO2008065598A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
CN200780043770.2A CN101542532B (en) 2006-11-28 2007-11-26 Method, apparatus and computer program for data processing
JP2009537753A JP5102302B2 (en) 2006-11-28 2007-11-26 Data processing method, apparatus and computer program
EP07849254.3A EP2104921B1 (en) 2006-11-28 2007-11-26 A method, an apparatus and a computer program for data processing
US12/516,357 US8781254B2 (en) 2006-11-28 2007-11-26 Method, an apparatus and a computer program for data processing

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP06124925.6 2006-11-28
EP06124925 2006-11-28

Publications (2)

Publication Number Publication Date
WO2008065598A2 WO2008065598A2 (en) 2008-06-05
WO2008065598A3 true WO2008065598A3 (en) 2009-05-14

Family

ID=39468340

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2007/054788 WO2008065598A2 (en) 2006-11-28 2007-11-26 A method, an apparatus and a computer program for data processing

Country Status (5)

Country Link
US (1) US8781254B2 (en)
EP (1) EP2104921B1 (en)
JP (1) JP5102302B2 (en)
CN (1) CN101542532B (en)
WO (1) WO2008065598A2 (en)

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US8045771B2 (en) * 2006-11-22 2011-10-25 General Electric Company System and method for automated patient anatomy localization
US20100130849A1 (en) * 2008-11-26 2010-05-27 Ge Global Research System and method for patient motion compensation during magnetic resonance scans
US8340438B2 (en) * 2009-12-17 2012-12-25 Deere & Company Automated tagging for landmark identification
US8160357B2 (en) * 2010-07-30 2012-04-17 Kabushiki Kaisha Toshiba Image segmentation
CA2876693A1 (en) 2012-06-22 2013-12-27 Leica Biosystems Nussloch Gmbh Tissue sample container and methods
WO2013192606A1 (en) 2012-06-22 2013-12-27 Leica Biosystems Nussloch Gmbh Biopsy tissue sample transport device and method of using thereof
US9052256B2 (en) 2013-03-15 2015-06-09 Leica Biosystems Nussloch Gmbh Method for processing and embedding tissue
CA2845832C (en) 2013-03-15 2020-09-22 Leica Biosystems Nussloch Gmbh Tissue cassette with biasing element
US9097629B2 (en) 2013-03-15 2015-08-04 Leica Biosystems Nussloch Gmbh Tissue cassette with retractable member
US9412076B2 (en) * 2013-07-02 2016-08-09 Surgical Information Sciences, Inc. Methods and systems for a high-resolution brain image pipeline and database program
EP3866107A1 (en) * 2020-02-14 2021-08-18 Koninklijke Philips N.V. Model-based image segmentation
CN112364508B (en) * 2020-11-11 2025-01-10 东方晶源微电子科技(北京)股份有限公司 A method for establishing a photoresist model and electronic equipment
CN114691691B (en) * 2022-03-30 2025-05-13 杭州数梦工场科技有限公司 Geohash-based spatial data processing method, device and electronic device

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US5926568A (en) 1997-06-30 1999-07-20 The University Of North Carolina At Chapel Hill Image object matching using core analysis and deformable shape loci
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Also Published As

Publication number Publication date
CN101542532A (en) 2009-09-23
JP2010510825A (en) 2010-04-08
EP2104921B1 (en) 2018-07-11
JP5102302B2 (en) 2012-12-19
EP2104921A2 (en) 2009-09-30
WO2008065598A2 (en) 2008-06-05
US20100061632A1 (en) 2010-03-11
US8781254B2 (en) 2014-07-15
CN101542532B (en) 2014-10-01

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